--- title: 'Computational Neuroscientist at Alljoined' canonical: 'https://feeny.ai/job/computational-neuroscientist-alljoined-san-francisco-f1p4kmdzg8rz' type: 'job' last_seen: '2026-09-07' --- # Computational Neuroscientist at Alljoined - **Company:** Alljoined - **Location:** San Francisco, CA - **Compensation:** $120k–$160k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2025-11-22 - **Last confirmed live:** 2026-09-07 - **Apply:** https://jobs.ashbyhq.com/alljoined/9881679f-74c2-409e-bdf7-0270dbce012c ## Job description ## ABOUT ALLJOINED Alljoined is creating a future where humans are fully understood and augmented by technology. Our work solves the communication bottleneck between humans and computers by decoding thoughts from the brain, entirely non-invasively. We apply deep learning research to large scale EEG datasets to decode multimedia input, eventually moving to internal thought. We are state-of-the art in capabilities and are fully vertically integrated. Our goal is to develop a general consumer interface to completely transform how we can live our lives. We are actively growing our world-class team of researchers to build the next interface to improve individual lives as well as the well-being of society as a whole. ## ABOUT THE ROLE As a Computational Neuroscientist, you will play a pivotal role in advancing our research. Using computational and neuroimaging techniques, you will design and iterate on stimulus paradigms at scale in collaboration with our research team, and perform comprehensive analyses on collected date to uncover insights into various paradigms and architectures. You will work with a team of hands-on research coordinators who will handle much of the collection work to get data at scale, and collaborate with other engineers and researchers, to design experiments to optimize next-generation neural decoding approaches. ## ABOUT YOU - PhD/postdoc in neuroscience or a related field. - Extensive experience in designing and executing neuroscience studies, including the analysis of functional brain imaging data (EEG, fMRI). - Proficiency in Python (MNE, Numpy, PyschoPy) and associated machine learning frameworks (PyTorch, Sci-Py, Scikit-Learn). - Extensive experience using advanced computational, statistical, and modeling skills to analyze and interpret neuroimaging data. - A strong grasp of psychophysics and human behavior. - Demonstrated ability to conduct independent research and collaborate in an interdisciplinary setting. ## COMPENSATION RANGE $140,000 - $180,000+ /year While this represents our expected range based on market data, final compensation will be determined based on your specific skills and experience and may be outside this range. ## BENEFITS - Competitive equity compensation at a seed stage startup - Options for housing support - Visa sponsorship - Health insurance ## About Alljoined ## Company Overview - **One-liner**: Alljoined develops neural decoding technology to interpret thoughts from brain signals non-invasively, aiming to bridge human cognition and technology by applying deep learning to EEG and fMRI data. - **Entity Type**: Private (Seed round, January 2025) - **Headquarters**: San Francisco, California, United States - **Founded**: 2023 - **Founders**: Not publicly disclosed (CEO is Jonathan Xu) ## Core Business - **Primary industries**: Research Services, Artificial Intelligence, Brain-Computer Interfaces (BCI) - **Target customers**: B2B (research institutions, healthcare providers), B2C (future consumer BCI applications); currently research‑focused - **Mission statement**: “Create a future where people can better understand themselves and connect with technology” – developing neural decoding to augment human capability and dignity ## Products & Services - **ENIGMA Model**: A multi‑subject EEG‑to‑image decoding model that learns a shared visual language across brains, enabling adaptation to new users in minutes. Achieves state‑of‑the‑art accuracy (demonstrated in peer‑reviewed work). - **MindEye2**: Multi‑subject fMRI‑to‑image architecture that trains 40× faster than prior models while matching performance (ICML 2025). - **Public EEG Dataset**: Largest public dataset for EEG‑image decoding – 6+ hours of recordings per participant across 20 subjects using consumer‑grade hardware. - **Proprietary Research Models**: Decoding of semantic content, emotion, inner speech, and intentional planning from brain signals. All offerings are research‑stage technology, not yet commercialized (pre‑revenue). ## Market Standing - **Valuation / Total Funding**: Not disclosed (Seed round in Jan 2025, 2 investors) - **Key Metric**: Total funding amount not publicly available; headcount 12 employees (LinkedIn) with conflicting report of 9 (BuiltIn) - **Notable Investors & Advisors**: - Individual investors include **Jeff Dean** (Chief Scientist, Google), **Guillermo Rauch** (CEO, Vercel), **Anastasis Germanidis** (Co‑founder, RunwayML), **Oliver Cameron** (Co‑founder, Odyssey), **Vas Bailey**. - Scientific Advisory Board: **Dr. Anil Seth** (Professor, University of Sussex), **Dr. Rufin VanRullen** (CNRS), **Dr. Arnaud Delorme** (Chief Architect of EEGLAB), **Dr. Thomas Naselaris** (University of Minnesota), **Dr. Tanishq Mathew Abraham** (CEO, MedARC). - **Growth Signals**: - Headcount grew **+142.9% YoY** (LinkedIn); currently 7 open positions across research and engineering. - Published papers at **ICML 2025** (MindEye2) and **CVPR** (mental imagery reconstruction from fMRI, highlight paper). - Released the largest public EEG‑image decoding dataset and demonstrated log‑linear neural scaling laws. ## Competitive Advantages - **Non‑invasive decoding**: Uses consumer‑grade EEG, making BCI practical for widespread use. - **Multi‑subject learning**: Models (ENIGMA, MindEye2) generalize across individuals, reducing calibration time from hours to minutes. - **Cutting‑edge research**: Peer‑reviewed publications at top ML/vision conferences; team includes world‑class neuroscientists and ML researchers. - **Ethical positioning**: Focus on augmenting human capability and dignity, not replacement. ## Strategic Focus - Decoding increasingly complex cognitive processes (emotion, inner speech, planning, abstract reasoning). - Scaling neural decoding through larger datasets and more powerful models. - Building a practical, non‑invasive interface for mental health, self‑understanding, and human‑computer interaction. ## Why Work Here - **In‑office culture** in San Francisco, CA (all roles require on‑site presence). - **Early‑stage environment** with ability to shape foundational technology; currently 12 employees. - **Research‑heavy team** – roles include Machine Learning Researcher, Computational Neuroscientist, Data Infrastructure Engineer, Software Engineer. - **Mission‑driven** – “improving human capability and dignity” with a focus on ethical augmentative AI. - **World‑class advisors** from top institutions (Google, CNRS, Princeton, etc.) and a highly collaborative team (former employees from Tesla, Snowflake, Microsoft, etc.). ## Sources 1. [alljoined.com](https://www.alljoined.com/) 2. [alljoined.com/about](https://www.alljoined.com/about) 3. [linkedin.com/company/alljoined](https://www.linkedin.com/company/alljoined) 4. [builtin.com/company/alljoined-inc](https://builtin.com/company/alljoined-inc) 5. [jobs.ashbyhq.com/alljoined](https://jobs.ashbyhq.com/alljoined) ## Other roles at Alljoined - [Executive Assistant](https://feeny.ai/job/executive-assistant-alljoined-san-francisco-51epbag83025) — San Francisco, CA - [Shoot Your Shot](https://feeny.ai/job/shoot-your-shot-alljoined-san-francisco-23qhsqfx5mq6) — San Francisco, CA - [Data Infrastructure Engineer](https://feeny.ai/job/data-infrastructure-engineer-alljoined-san-francisco-hdnsfa556y1p) — San Francisco, CA - [Software Engineer](https://feeny.ai/job/software-engineer-alljoined-san-francisco-pcx5663q5d58) — San Francisco, CA - [Machine Learning Researcher](https://feeny.ai/job/machine-learning-researcher-alljoined-san-francisco-sn24fm8zxqk1) — San Francisco, CA